AI is only as trustworthy as the controls around it. We build cybersecurity, GRC and AI governance into the systems you run, so regulated data can go into production and stay there.
Security and compliance is our service for organizations that run regulated data and want AI on it. We audit and harden infrastructure, build secure development and DevSecOps practices, implement GRC programs and ISO 27001 controls, and govern AI systems with access control, logging and human review. It is for CTOs, CISOs and compliance leads.
Data privacy, governance and compliance is the top enterprise AI concern in 2026, at 61%, ahead of accuracy at 55%. Procurement now writes data handling, model governance and audit-log access into contracts. A typical enterprise AI RFP puts 25% of the score on security and compliance and another 20% on LLM governance.
Only 1 in 5 organizations has a mature governance model for autonomous agents (Deloitte, 3,235 respondents). The gap is not policy. It is engineering: which identity the agent runs as, what it can touch, what gets logged, who reviews the output, and how you prove all of that to an auditor 18 months later.
Certifications are gates. SOC 2 Type II is the shortlist baseline, ISO 27001 carries weight in healthcare, finance and the public sector, and ISO/IEC 42001 now appears in roughly 40% of EU and 25% of North American enterprise AI RFPs by vendor estimates. Controls bolted on after a pilot rarely survive that scrutiny.
Find the gaps before an attacker or an auditor does, and rank them by exposure.
Security in every stage of delivery, measured with OWASP SAMM rather than asserted.
One identity backbone for employees, partners, suppliers and the AI agents that act on their behalf.
Zero-trust design for cloud and on-premises environments, with recovery that survives a compromised admin.
Governance, risk and compliance as workflows and data, not a folder of policies.
We hold the certificate ourselves and have built the controls that back it.
Controls that make an AI system explainable to a regulator and safe to leave running.
Controls that exist only in a policy document fail the first real audit. These stay in the system.
Every user, service and AI agent has an identity, a role and a scope. Privileges are least-privilege by default and reviewed on a schedule, with joiners and leavers handled automatically.
Access events, configuration changes, model inputs and outputs are logged to immutable storage. Evidence for auditors is exported from the system, not assembled by hand the week before.
Consequential AI actions route to a named reviewer with the context to decide. Override rates and review latency are tracked as operating metrics and feed model evaluation.
Detection, escalation and recovery runbooks are tested in drills. Backups are immutable and off-account, so a ransomware event is a restore, not a negotiation.
0data loss: clean recovery points even after admin-level compromise
Immutable AWS Backup vaults, S3 Object Lock, cross-account replication and DRS restore templates keep a SaaS provider recoverable after admin compromise.
500+enterprises use the solution, including Fortune 500 companies
Keycloak SSO with OpenID Connect, OAuth 2.0 and SAML replaced manual user enrollment for a global supply chain SaaS, enabling 3x business scalability.
< 1%phish-click rate guaranteed after six months of training
Phishfirewall's security-awareness product rebuilt from no-code into a SaaS with a mailer, back office and API on Node.js, React and Google Cloud.
Security diagnostics of infrastructure, network, applications and data protection. The regulatory requirements for your industry are mapped to the systems that must satisfy them.
A roadmap that ranks risks by exposure, selects controls and frameworks, and sets the order of work. Threat models are written before code changes. You receive it within days of the discovery call.
Controls are deployed across network, cloud, endpoints and the software delivery pipeline with minimal operational disruption. Governance for AI systems is built alongside the AI itself, not after it.
Penetration tests and attack simulations verify the controls. Monitoring, incident response, security updates and evidence collection then continue as an operating service.
Security assessments and penetration testing, strategy and roadmap, secure software development lifecycle and DevSecOps, identity and access management, cloud and network security, disaster recovery, GRC program design and AI governance. We are a software engineering company first, so the recommendations come from building and running regulated systems since 2012, not from a checklist. Erbis is ISO 27001 certified.
An inventory of systems and data flows, vulnerability scanning of infrastructure and applications, penetration testing, secure code review, threat modeling, and a gap analysis against the frameworks that apply to you, such as ISO 27001, SOC 2, HIPAA or GDPR. You receive a ranked list of findings with exposure, effort and an owner for each, and a roadmap that fixes the highest-risk items first.
By turning requirements into controls that live in the system: access rules, logging, encryption, backup policies, change management and evidence collection that runs continuously. A GRC platform or workflow tracks controls, risks, policies and audit findings. Then we operate it with you: periodic access reviews, control testing, incident handling and audit preparation, so the next audit is an export rather than a project.
Yes. Most of our clients run a mix: legacy systems in a data center, applications on AWS or Azure, and SaaS tools around them. We design identity, network segmentation, encryption and monitoring across all of it, with zero-trust principles so that location is not the security boundary. Backups and disaster recovery are set up so that a compromise in one environment does not take the others with it.
Governance, risk and compliance: the set of processes and tools an organization uses to set policy, identify and treat risks, and prove it meets the regulations and standards that apply to it. In practice it means a risk register, a controls framework, policy management, incident and audit workflows, and reporting. Done as software, GRC removes manual work and gives leadership a live view of exposure instead of an annual one.
Every model, prompt and data flow is inventoried and owned. Agents run under scoped identities with least-privilege access to systems. Inputs are filtered, outputs are logged and traceable, and consequential decisions route to a human reviewer with the context to overrule. Controls are mapped to NIST AI RMF, ISO/IEC 42001 and, where relevant, EU AI Act obligations, so the evidence an auditor asks for already exists.
A 45-minute discovery call with an engineer who has done this. Bring your regulatory scope and the AI use case; we will tell you which controls are missing and what they cost.
AWS partner · Databricks partner · ISO 27001 · You own the code from day one
